Print Email Facebook Twitter Application-level performance of cross-layer scheduling for social VR in 5G Title Application-level performance of cross-layer scheduling for social VR in 5G Author Du, Z. van den Berg, J.L. Dimitrovski, T. Litjes, R. Publication year 2023 Abstract Social VR aims at enabling people located at different places to communicate and interact with each other in a natural way. It poses extremely strong throughput and latency requirements on the underlying communication networks. This paper investigates the potential of using cross-layer design approaches for radio access scheduling in order to realize these challenging requirements in (beyond) 5G networks. In particular, we provide an in-depth simulation study of the performance/capacity gains that can be achieved by exploiting the end-to-end latency budget and/or video frame type as crosslayer information in the scheduling decisions, and show how the benefits depend on the actual social VR scenario. This study further reveals the importance of using application-level metrics such as PSNR or SSIM rather than traditional network-level metrics like the packet drop rate in the performance assessment. Subject Social VRCross-layer schedulingApplication level performance5G To reference this document use: http://resolver.tudelft.nl/uuid:9b969589-cc6f-4bc4-8fbb-4cf08f2b716e TNO identifier 986063 Source 2023 IEEE Conference on Wireless Communications and Networking (WCNC) Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.